Asynchronous Robust Aggregation Method with Privacy Protection for IoV Federated Learning by Antong Zhou, Ning Jiang, Tong Tang

“…Then, we design a communication-efficient and security enhanced aggregation protocol based on homomorphic encryption, to achieve asynchronous group robust aggregation while protecting data privacy and reducing communication overhead. …”
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Original : high speed data compression techniques for large scale storage system change to a partially homomorphic database encryption by Phetsouvanh, Silivanxay

“…Current design of HELib is implemented using the Brakerski-Gentry-Vaiguntanathan (BGV) homomorphic encryption schema, thus data is guaranteed to be more secure at the server end. …”
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Towards enhancement of privacy-preserving data mining model for predicting students learning outcomes performance by Abdul Samad, Adlina, Md. Arshad, Marina, Md. Siraj, Maheyzah

“…This PPDM combines two privacy preserving approaches which are k-anonymization and homomorphic encryption. On the other hand, for the data mining, classification algorithms such as Random Forest, Support Vector Machine, and Naïve Bayes are compared to find the best accuracy. …”

The Study of Monotonic Core Functions and Their Use to Build RNS Number Comparators by Mikhail Babenko, Stanislaw J. Piestrak, Nikolay Chervyakov, Maxim Deryabin

“…The potential applications of the new comparator include some recently developed homomorphic encryption algorithms implemented using RNS.…”
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Multidimensional Epidemiological Survey Data Aggregation Scheme Based on Personalized Local Differential Privacy by Xueyan Liu, Qiong Liu, Jia Wang, Hao Sun

“…By using Paillier homomorphic encryption and an identity-based signature scheme to further prevent differential attacks and achieve multidimensional data aggregation, the safe, efficient, and accurate aggregation processing of ESD is executed. …”
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Hadoop-based secure storage solution for big data in cloud computing environment by Shaopeng Guan, Conghui Zhang, Yilin Wang, Wenqing Liu

“…Then, we improve the ECC encryption algorithm for the encryption of ordinary data, and adopt a homomorphic encryption algorithm to encrypt data that needs to be calculated. …”
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Bit Incorporated Codon Positional Encoder (BICPE) Algorithm for Privacy Preservation in Vertically Partitioned Data in Cloud by Yogasini Manithurai, Prathibha Badhravati Nagaraju

“…The performance of the proposed technique is compared with the traditional Homomorphic Encryption (HE) in terms of support threshold values (Ts) for different items in a transaction. …”
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Review of Privacy-Preserving Research in Recommendation Systems by FENG Han, YI Huawei, LI Xiaohui, LI Rui

“…This paper firstly summarizes the privacy-preserving technology, including differential privacy technology, homomorphic encryption technology, federated learning and secure multi-party computing technology, and compares these commonly used privacy-preserving tech-nologies. …”
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Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning by Zhengxiong Mao, Hui Li, Zuyuan Huang, Yuan Tian, Peng Zhao, Yanan Li

“…Furthermore, we further use RSA encryption in the private set intersection and Paillier homomorphic encryption in the training and inference phases. …”
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LPCP: An efficient Privacy-Preserving Protocol for Polynomial Calculation Based on CRT by Jiajian Tang, Zhenfu Cao, Jiachen Shen, Xiaolei Dong

“…Our protocol utilizes CRT-based encryption and re-encryption techniques to realize additional and multiplicative homomorphic encryption, which can be transformed into a two-party secure computation scheme. …”
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A blockchain-based privacy-preserving transaction scheme with public verification and reliable audit by Shuang Yao, Dawei Zhang

“…First, we provide privacy preserving of transaction contents based on homomorphic encryption. It is flexible, as we decouple user identity and transaction contents. …”
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Secure Aggregation Protocol Based on DC-Nets and Secret Sharing for Decentralized Federated Learning by Diogo Pereira, Paulo Ricardo Reis, Fábio Borges

“…Furthermore, it obtains a timing performance that does not significantly affect the total training time, unlike protocols that use Homomorphic Encryption.…”
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TTP-Aided Secure Computation Using (k, n) Threshold Secret Sharing With a Single Computing Server by Keiichi Iwamura, Ahmad Akmal Aminuddin Mohd Kamal

“…Secure computation can be divided into those using homomorphic encryption and secret sharing. The advantage of the former method is that the computation can be performed on a single computing server and the computation process can be made public if the encryption key used is securely managed. …”
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Privacy-First Paradigm for Dynamic Consent Management Systems: Empowering Data Subjects through Decentralized Data Controllers and Privacy-Preserving Techniques by Muhammad Irfan Khalid, Mansoor Ahmed, Markus Helfert, Jungsuk Kim

“…Additionally, we suggest the integration of privacy-enhancing technologies such as secure multi-party computation, homomorphic encryption, and differential privacy with blockchain to accomplish both security and privacy, aligning with the data sharing practices outlined in the General Data Protection Regulation (GDPR) in Europe.…”
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Unmanned Aerial Vehicle-Assisted Federated Learning Method Based on a Trusted Execution Environment by Jia Liao, Baihui Jiang, Peng Zhao, Lei Ning, Liming Chen

“…This study further designs and evaluates a TEE-based federated learning model, comparing its resource overhead with other secure aggregation frameworks, like homomorphic encryption (HE) and differential privacy (DP). …”
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Privacy‐preserving gradient boosting tree: Vertical federated learning for collaborative bearing fault diagnosis by Liqiao Xia, Pai Zheng, Jinjie Li, Wangchujun Tang, Xiangying Zhang

“…Only the model information will be shared under the homomorphic encryption protocol, safeguarding data privacy while retaining high accuracy. …”
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BURLAP: Bits of Useful Randomness enable Learning with Adjustable Privacy by Reyes, Rene David Reyes

“…While cryptography-based approaches such as Fully Homomorphic Encryption (FHE) can be used to provide privacy guarantees that have been rigorously characterized and proven, their adoption comes with two main practical hurdles. …”
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Lattice-based FHE as secure as PKE by Brakerski, Zvika, Vaikuntanathan, Vinod

“…We show that (leveled) fully homomorphic encryption (FHE) can be based on the hardness of O(n[superscript 1.5+ε])-approximation for lattice problems (such as GapSVP) under quantum reductions for any ε 〉 0 (or O(n[superscript 2+ε])-approximation under classical reductions). …”
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A Lattice-Based Homomorphic Proxy Re-Encryption Scheme with Strong Anti-Collusion for Cloud Computing by Juyan Li, Zhiqi Qiao, Kejia Zhang, Chen Cui

“…The homomorphic proxy re-encryption scheme combines the characteristics of a homomorphic encryption scheme and proxy re-encryption scheme. …”
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Advancements and Challenges in Energy-efficient 6G Mobile Communication Network by Slimani Khadija, Khoulji Samira, Kerkeb Mohamed Larbi

“…Cutting-edge security methods such as homomorphic encryption and blockchain technology may be essential in this regard. …”
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